基于虚拟叠加多智能体系统的增强型情感认知智能体验证
Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach
AI总结:
本文提出基于虚拟叠加多智能体系统的方法,验证了增强型情感认知智能体在避免道路碰撞中的有效性,展示了其在不同交通情境下感知恐惧等级的能力及更短的停车视距和超车视距。
摘要:
通过避免道路碰撞来提高道路安全性是发明自动驾驶车辆(AVs)的主要原因之一。在此背景下,设计能够真正代表人类认知和情感的基于智能体的碰撞避免组件,似乎是更可行的方法,因为智能体可以替代人类驾驶员。然而,据我们所知,在这一领域中,非常少有基于人类情感和认知的智能体研究。此外,这些基于智能体的解决方案尚未使用任何关键的验证技术进行验证。考虑到这种缺乏验证实践的情况,我们选择了最先进的情感认知智能体(EEC_Agent),该智能体旨在避免半自动驾驶车辆之间的侧向碰撞。EEC_Agent的架构已使用认知智能体基于计算(CABC)框架中的探索性智能体建模(EABM)级别进行了修订,并引入了基于Ortony、Clore & Collins(OCC)模型的实时恐惧情绪生成机制。然后,所提出的恐惧生成机制已通过CABC框架中的验证智能体建模级别使用虚拟叠加多智能体系统(VOMAS)进行验证。广泛的模拟和实际实验表明,增强型EEC_Agent能够根据不同的交通情境感知不同层次的恐惧,并且相比人类驾驶员,其所需的停车视距(SSD)和超车视距(OSD)更小。
英文摘要:
Making roads safer by avoiding road collisions is one of the main reasons for inventing Autonomous vehicles (AVs). In this context, designing agent-based collision avoidance components of AVs which truly represent human cognition and emotions look is a more feasible approach as agents can replace human drivers. However, to the best of our knowledge, very few human emotion and cognition-inspired agent-based studies have previously been conducted in this domain. Furthermore, these agent-based solutions have not been validated using any key validation technique. Keeping in view this lack of validation practices, we have selected state-of-the-art Emotion Enabled Cognitive Agent (EEC_Agent), which was proposed to avoid lateral collisions between semi-AVs. The architecture of EEC_Agent has been revised using Exploratory Agent Based Modeling (EABM) level of the Cognitive Agent Based Computing (CABC) framework and real-time fear emotion generation mechanism using the Ortony, Clore & Collins (OCC) model has also been introduced. Then the proposed fear generation mechanism has been validated using the Validated Agent Based Modeling level of CABC framework using a Virtual Overlay MultiAgent System (VOMAS). Extensive simulation and practical experiments demonstrate that the Enhanced EEC_Agent exhibits the capability to feel different levels of fear, according to different traffic situations and also needs a smaller Stopping Sight Distance (SSD) and Overtaking Sight Distance (OSD) as compared to human drivers.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。